The paper formalizes epistemic alignment in multi-agent systems and shows that convergence on wrong hypotheses is not detectable from coordination metrics such as Jensen-Shannon Divergence or consensus rate.
IEEE Transactions on automatic control57(5), 1291–1297 (2011) 24
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The Cost of Consensus: Malignant Epistemic Herding and Adaptive Gating in Distributed Multi-Agent Search
The paper formalizes epistemic alignment in multi-agent systems and shows that convergence on wrong hypotheses is not detectable from coordination metrics such as Jensen-Shannon Divergence or consensus rate.